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1a8232c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | """Load model.safetensors and run the gate network (self-contained)."""
import torch
from safetensors.torch import load_file
GATES = ("AND", "OR", "XOR", "NAND", "NOR", "XNOR", "NOT", "BUF", "CNOT", "SWAP")
W = load_file("model.safetensors")
def forward(gate: str, a: int, b: int) -> torch.Tensor:
x = torch.zeros(12)
x[GATES.index(gate)] = 1.0
x[-2], x[-1] = a, b
for i in (0, 2, 4):
x = torch.tanh(x @ W[f"net.{i}.weight"].T + W[f"net.{i}.bias"])
return torch.sigmoid(x @ W["net.6.weight"].T + W["net.6.bias"])
if __name__ == "__main__":
for gate in GATES:
p1, p2 = forward(gate, 1, 0).tolist()
print(f"{gate:4} a=1 b=0 -> ({int(p1 >= 0.5)}, {int(p2 >= 0.5)})")
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